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Learn About Statistical Analysis For Marketing Research

We've grouped together all the information our site contains on Statistical Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 20 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Finding an optimal mix
Pharmaceutical marketers spend promotional dollars in various ways hoping to increase sales. These promotional dollars are typically allocated to samples, office detailing, hospital detailing, DTC advertising and journal advertising. This article examines the impact of these five promotional mix variables on pharmaceutical sales dollars.
Data Use: Weighting survey data
Data weighting, or sample balancing, is both under- and misused. This article discusses data weighting, providing descriptions and examples that may foster more effective use of the technique by researchers in a variety of organizations.
How to think about your tables
This article explores different ways of viewing data analysis in tabular form to better understand and show the pattern of association in two-way tables. The author derives percentages, the percentage difference, odds, odds ratios and the log-odds ratios in the two examples shown.
Look for the similarities
The author provides five methodological and five applied-marketing guidelines to help readers craft better segmentations.
Data Use: Using discrete choice conjoint to validate stated-choice data
Offers ways to validate stated-choice data and compares the pros and cons of standalone questions types.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

By the Numbers: The numbers behind the number
When clients fixate on a single score or measure as an indication of viability, or lack thereof, researchers must step in and help them see the bigger picture.
Data Use: Significant differences
The author examines the reliance on tests of statistical significance in applied marketing research.
Five pitfalls to avoid for successful linkage analysis
Whether simple or complex, the linkage process is fraught with potential perils. This article outlines five of them and offers strategies to work around them.
What can text analytics teach us?
A look at some commonly-used text analytics methods and how companies can apply them to the many forms of customer feedback.
Data Use: Statistical significance revisited
In response to an earlier Quirk’s article on the abuse of significance, this article explores several different kinds of error and argues that researchers should look to report managerial significance rather than statistical significance.

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